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Sequential learning and decision-mak...

Zheng, Rong.

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Sequential learning and decision-making in wireless resource management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Sequential learning and decision-making in wireless resource management/ by Rong Zheng, Cunqing Hua.
作者:	Zheng, Rong.
其他作者:	Hua, Cunqing.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xiii, 118 p. :ill., digital ;24 cm.
內容註:	Introduction -- Stochastic Multi-armed Bandit -- Markov Multi-armed Bandit -- Adversarial Multi-armed Bandit -- Spectrum Sensing and Access in Cognitive Radio Networks -- Sniffer Channel Assignment in Multi-channel Wireless Networks -- Online Routing in Multi-hop Wireless Networks -- Channel Selection and User Association in WiFi Networks.
Contained By:	Springer eBooks
標題:	Cognitive radio networks. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-50502-2
ISBN:	9783319505022

Sequential learning and decision-making in wireless resource management
Zheng, Rong.

Sequential learning and decision-making in wireless resource management[electronic resource] /by Rong Zheng, Cunqing Hua. - Cham :Springer International Publishing :2016. - xiii, 118 p. :ill., digital ;24 cm. - Wireless networks,2366-1186. - Wireless networks..

Introduction -- Stochastic Multi-armed Bandit -- Markov Multi-armed Bandit -- Adversarial Multi-armed Bandit -- Spectrum Sensing and Access in Cognitive Radio Networks -- Sniffer Channel Assignment in Multi-channel Wireless Networks -- Online Routing in Multi-hop Wireless Networks -- Channel Selection and User Association in WiFi Networks.

This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks. Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible.

ISBN: 9783319505022

Standard No.: 10.1007/978-3-319-50502-2doiSubjects--Topical Terms:

628882
Cognitive radio networks.

LC Class. No.: TK5103.4873 / .Z44 2016

Dewey Class. No.: 621.384

Sequential learning and decision-making in wireless resource management
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505 0 $a Introduction -- Stochastic Multi-armed Bandit -- Markov Multi-armed Bandit -- Adversarial Multi-armed Bandit -- Spectrum Sensing and Access in Cognitive Radio Networks -- Sniffer Channel Assignment in Multi-channel Wireless Networks -- Online Routing in Multi-hop Wireless Networks -- Channel Selection and User Association in WiFi Networks.
520 $a This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks. Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible.
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